Mybatis-Plus官方分庫分表神器，一個依賴輕松搞定！
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文章來源：http://suo.nz/18CuNV
前言
主要功能
使用
前言
今天介紹一個 MyBatis - Plus 官方發(fā)布的神器：mybatis-mate 為 mp 企業(yè)級模塊，支持分庫分表，數(shù)據(jù)審計(jì)、數(shù)據(jù)敏感詞過濾（AC 算法），字段加密，字典回寫（數(shù)據(jù)綁定），數(shù)據(jù)權(quán)限，表結(jié)構(gòu)自動生成 SQL 維護(hù)等，旨在更敏捷優(yōu)雅處理數(shù)據(jù)。
主要功能
如下：
字典綁定
字段加密
數(shù)據(jù)脫敏
表結(jié)構(gòu)動態(tài)維護(hù)
數(shù)據(jù)審計(jì)記錄
數(shù)據(jù)范圍（數(shù)據(jù)權(quán)限）
數(shù)據(jù)庫分庫分表、動態(tài)據(jù)源、讀寫分離、數(shù)- - 據(jù)庫健康檢查自動切換。
使用
?
| 依賴導(dǎo)入
Spring Boot 引入自動依賴注解包：
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-mate-starter</artifactId>
<version>1.0.8</version>
</dependency>
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-mate-annotation</artifactId>
<version>1.0.8</version>
</dependency>
| 字段數(shù)據(jù)綁定（字典回寫）
@FieldDict(type = "user_sex", target = "sexText")
private Integer sex;
private String sexText;
@Component
public class DataDict implements IDataDict {
/**
* 從數(shù)據(jù)庫或緩存中獲取
*/
private Map<String, String> SEX_MAP = new ConcurrentHashMap<String, String>() {{
put("0", "女");
put("1", "男");
}};
@Override
public String getNameByCode(FieldDict fieldDict, String code) {
System.err.println("字段類型：" + fieldDict.type() + "，編碼：" + code);
return SEX_MAP.get(code);
}
}
| 字段加密
屬性 @FieldEncrypt 注解即可加密存儲，會自動解密查詢結(jié)果，支持全局配置加密密鑰算法，及注解密鑰算法，可以實(shí)現(xiàn) IEncryptor 注入自定義算法。
@FieldEncrypt(algorithm = Algorithm.PBEWithMD5AndDES)
private String password;
| 字段脫敏
例如：中文名、銀行卡賬號、手機(jī)號碼等脫敏策略。也可以自定義策略如下：
@FieldSensitive(type = "testStrategy")
private String username;
@FieldSensitive(type = SensitiveType.mobile)
private String mobile;
@Configuration
public class SensitiveStrategyConfig {
/**
* 注入脫敏策略
*/
@Bean
public ISensitiveStrategy sensitiveStrategy() {
// 自定義 testStrategy 類型脫敏處理
return new SensitiveStrategy().addStrategy("testStrategy", t -> t + "***test***");
}
}
/**
* 演示文章敏感詞過濾
*/
@RestController
public class ArticleController {
@Autowired
private SensitiveWordsMapper sensitiveWordsMapper;
// 測試訪問下面地址觀察請求地址、界面返回?cái)?shù)據(jù)及控制臺（ 普通參數(shù) ）
// 無敏感詞 http://localhost:8080/info?content=tom&see=1&age=18
// 英文敏感詞 http://localhost:8080/info?content=my%20content%20is%20tomcat&see=1&age=18
// 漢字敏感詞 http://localhost:8080/info?content=%E7%8E%8B%E5%AE%89%E7%9F%B3%E5%94%90%E5%AE%8B%E5%85%AB%E5%A4%A7%E5%AE%B6&see=1
// 多個敏感詞 http://localhost:8080/info?content=%E7%8E%8B%E5%AE%89%E7%9F%B3%E6%9C%89%E4%B8%80%E5%8F%AA%E7%8C%ABtomcat%E6%B1%A4%E5%A7%86%E5%87%AF%E7%89%B9&see=1&size=6
// 插入一個字變成非敏感詞 http://localhost:8080/info?content=%E7%8E%8B%E7%8C%AB%E5%AE%89%E7%9F%B3%E6%9C%89%E4%B8%80%E5%8F%AA%E7%8C%ABtomcat%E6%B1%A4%E5%A7%86%E5%87%AF%E7%89%B9&see=1&size=6
@GetMapping("/info")
public String info(Article article) throws Exception {
return ParamsConfig.toJson(article);
}
// 添加一個敏感詞然后再去觀察是否生效 http://localhost:8080/add
// 觀察【貓】這個詞被過濾了 http://localhost:8080/info?content=%E7%8E%8B%E5%AE%89%E7%9F%B3%E6%9C%89%E4%B8%80%E5%8F%AA%E7%8C%ABtomcat%E6%B1%A4%E5%A7%86%E5%87%AF%E7%89%B9&see=1&size=6
// 嵌套敏感詞處理 http://localhost:8080/info?content=%E7%8E%8B%E7%8C%AB%E5%AE%89%E7%9F%B3%E6%9C%89%E4%B8%80%E5%8F%AA%E7%8C%ABtomcat%E6%B1%A4%E5%A7%86%E5%87%AF%E7%89%B9&see=1&size=6
// 多層嵌套敏感詞 http://localhost:8080/info?content=%E7%8E%8B%E7%8E%8B%E7%8C%AB%E5%AE%89%E7%9F%B3%E5%AE%89%E7%9F%B3%E6%9C%89%E4%B8%80%E5%8F%AA%E7%8C%ABtomcat%E6%B1%A4%E5%A7%86%E5%87%AF%E7%89%B9&see=1&size=6
@GetMapping("/add")
public String add() throws Exception {
Long id = 3L;
if (null == sensitiveWordsMapper.selectById(id)) {
System.err.println("插入一個敏感詞：" + sensitiveWordsMapper.insert(new SensitiveWords(id, "貓")));
// 插入一個敏感詞，刷新算法引擎敏感詞
SensitiveWordsProcessor.reloadSensitiveWords();
}
return "ok";
}
// 測試訪問下面地址觀察控制臺（ 請求json參數(shù) ）
// idea 執(zhí)行 resources 目錄 TestJson.http 文件測試
@PostMapping("/json")
public String json(@RequestBody Article article) throws Exception {
return ParamsConfig.toJson(article);
}
}
| DDL 數(shù)據(jù)結(jié)構(gòu)自動維護(hù)
@Component
public class PostgresDdl implements IDdl {
/**
* 執(zhí)行 SQL 腳本方式
*/
@Override
public List<String> getSqlFiles() {
return Arrays.asList(
// 內(nèi)置包方式
"db/tag-schema.sql",
// 文件絕對路徑方式
"D:\\db\\tag-data.sql"
);
}
}
ddlScript.run(new StringReader("DELETE FROM user;\n" +
"INSERT INTO user (id, username, password, sex, email) VALUES\n" +
"(20, 'Duo', '123456', 0, '[email protected]');"));
它還支持多數(shù)據(jù)源執(zhí)行！！！
@Component
public class MysqlDdl implements IDdl {
@Override
public void sharding(Consumer<IDdl> consumer) {
// 多數(shù)據(jù)源指定，主庫初始化從庫自動同步
String group = "mysql";
ShardingGroupProperty sgp = ShardingKey.getDbGroupProperty(group);
if (null != sgp) {
// 主庫
sgp.getMasterKeys().forEach(key -> {
ShardingKey.change(group + key);
consumer.accept(this);
});
// 從庫
sgp.getSlaveKeys().forEach(key -> {
ShardingKey.change(group + key);
consumer.accept(this);
});
}
}
/**
* 執(zhí)行 SQL 腳本方式
*/
@Override
public List<String> getSqlFiles() {
return Arrays.asList("db/user-mysql.sql");
}
}
| 動態(tài)多數(shù)據(jù)源主從自由切換
@Mapper
@Sharding("mysql")
public interface UserMapper extends BaseMapper<User> {
@Sharding("postgres")
Long selectByUsername(String username);
}
@Component
public class MyShardingStrategy extends RandomShardingStrategy {
/**
* 決定切換數(shù)據(jù)源 key {@link ShardingDatasource}
*
* @param group 動態(tài)數(shù)據(jù)庫組
* @param invocation {@link Invocation}
* @param sqlCommandType {@link SqlCommandType}
*/
@Override
public void determineDatasourceKey(String group, Invocation invocation, SqlCommandType sqlCommandType) {
// 數(shù)據(jù)源組 group 自定義選擇即可， keys 為數(shù)據(jù)源組內(nèi)主從多節(jié)點(diǎn)，可隨機(jī)選擇或者自己控制
this.changeDatabaseKey(group, sqlCommandType, keys -> chooseKey(keys, invocation));
}
}
mybatis-mate:
sharding:
health: true # 健康檢測
primary: mysql # 默認(rèn)選擇數(shù)據(jù)源
datasource:
mysql: # 數(shù)據(jù)庫組
- key: node1
...
- key: node2
cluster: slave # 從庫讀寫分離時候負(fù)責(zé) sql 查詢操作，主庫 master 默認(rèn)可以不寫
...
postgres:
- key: node1 # 數(shù)據(jù)節(jié)點(diǎn)
...
| 分布式事務(wù)日志打印
/**
* <p>
* 性能分析攔截器，用于輸出每條 SQL 語句及其執(zhí)行時間
* </p>
*/
@Slf4j
@Component
@Intercepts({@Signature(type = StatementHandler.class, method = "query", args = {Statement.class, ResultHandler.class}),
@Signature(type = StatementHandler.class, method = "update", args = {Statement.class}),
@Signature(type = StatementHandler.class, method = "batch", args = {Statement.class})})
public class PerformanceInterceptor implements Interceptor {
/**
* SQL 執(zhí)行最大時長，超過自動停止運(yùn)行，有助于發(fā)現(xiàn)問題。
*/
private long maxTime = 0;
/**
* SQL 是否格式化
*/
private boolean format = false;
/**
* 是否寫入日志文件<br>
* true 寫入日志文件，不阻斷程序執(zhí)行！<br>
* 超過設(shè)定的最大執(zhí)行時長異常提示！
*/
private boolean writeInLog = false;
@Override
public Object intercept(Invocation invocation) throws Throwable {
Statement statement;
Object firstArg = invocation.getArgs()[0];
if (Proxy.isProxyClass(firstArg.getClass())) {
statement = (Statement) SystemMetaObject.forObject(firstArg).getValue("h.statement");
} else {
statement = (Statement) firstArg;
}
MetaObject stmtMetaObj = SystemMetaObject.forObject(statement);
try {
statement = (Statement) stmtMetaObj.getValue("stmt.statement");
} catch (Exception e) {
// do nothing
}
if (stmtMetaObj.hasGetter("delegate")) {//Hikari
try {
statement = (Statement) stmtMetaObj.getValue("delegate");
} catch (Exception e) {
}
}
String originalSql = null;
if (originalSql == null) {
originalSql = statement.toString();
}
originalSql = originalSql.replaceAll("[\\s]+", " ");
int index = indexOfSqlStart(originalSql);
if (index > 0) {
originalSql = originalSql.substring(index);
}
// 計(jì)算執(zhí)行 SQL 耗時
long start = SystemClock.now();
Object result = invocation.proceed();
long timing = SystemClock.now() - start;
// 格式化 SQL 打印執(zhí)行結(jié)果
Object target = PluginUtils.realTarget(invocation.getTarget());
MetaObject metaObject = SystemMetaObject.forObject(target);
MappedStatement ms = (MappedStatement) metaObject.getValue("delegate.mappedStatement");
StringBuilder formatSql = new StringBuilder();
formatSql.append(" Time：").append(timing);
formatSql.append(" ms - ID：").append(ms.getId());
formatSql.append("\n Execute SQL：").append(sqlFormat(originalSql, format)).append("\n");
if (this.isWriteInLog()) {
if (this.getMaxTime() >= 1 && timing > this.getMaxTime()) {
log.error(formatSql.toString());
} else {
log.debug(formatSql.toString());
}
} else {
System.err.println(formatSql);
if (this.getMaxTime() >= 1 && timing > this.getMaxTime()) {
throw new RuntimeException(" The SQL execution time is too large, please optimize ! ");
}
}
return result;
}
@Override
public Object plugin(Object target) {
if (target instanceof StatementHandler) {
return Plugin.wrap(target, this);
}
return target;
}
@Override
public void setProperties(Properties prop) {
String maxTime = prop.getProperty("maxTime");
String format = prop.getProperty("format");
if (StringUtils.isNotEmpty(maxTime)) {
this.maxTime = Long.parseLong(maxTime);
}
if (StringUtils.isNotEmpty(format)) {
this.format = Boolean.valueOf(format);
}
}
public long getMaxTime() {
return maxTime;
}
public PerformanceInterceptor setMaxTime(long maxTime) {
this.maxTime = maxTime;
return this;
}
public boolean isFormat() {
return format;
}
public PerformanceInterceptor setFormat(boolean format) {
this.format = format;
return this;
}
public boolean isWriteInLog() {
return writeInLog;
}
public PerformanceInterceptor setWriteInLog(boolean writeInLog) {
this.writeInLog = writeInLog;
return this;
}
public Method getMethodRegular(Class<?> clazz, String methodName) {
if (Object.class.equals(clazz)) {
return null;
}
for (Method method : clazz.getDeclaredMethods()) {
if (method.getName().equals(methodName)) {
return method;
}
}
return getMethodRegular(clazz.getSuperclass(), methodName);
}
/**
* 獲取sql語句開頭部分
*
* @param sql
* @return
*/
private int indexOfSqlStart(String sql) {
String upperCaseSql = sql.toUpperCase();
Set<Integer> set = new HashSet<>();
set.add(upperCaseSql.indexOf("SELECT "));
set.add(upperCaseSql.indexOf("UPDATE "));
set.add(upperCaseSql.indexOf("INSERT "));
set.add(upperCaseSql.indexOf("DELETE "));
set.remove(-1);
if (CollectionUtils.isEmpty(set)) {
return -1;
}
List<Integer> list = new ArrayList<>(set);
Collections.sort(list, Integer::compareTo);
return list.get(0);
}
private final static SqlFormatter sqlFormatter = new SqlFormatter();
/**
* 格式sql
*
* @param boundSql
* @param format
* @return
*/
public static String sqlFormat(String boundSql, boolean format) {
if (format) {
try {
return sqlFormatter.format(boundSql);
} catch (Exception ignored) {
}
}
return boundSql;
}
}
@RestController
@AllArgsConstructor
public class TestController {
private BuyService buyService;
// 數(shù)據(jù)庫 test 表 t_order 在事務(wù)一致情況無法插入數(shù)據(jù)，能夠插入說明多數(shù)據(jù)源事務(wù)無效
// 測試訪問 http://localhost:8080/test
// 制造事務(wù)回滾 http://localhost:8080/test?error=true 也可通過修改表結(jié)構(gòu)制造錯誤
// 注釋 ShardingConfig 注入 dataSourceProvider 可測試事務(wù)無效情況
@GetMapping("/test")
public String test(Boolean error) {
return buyService.buy(null != error && error);
}
}
| 數(shù)據(jù)權(quán)限
// 測試 test 類型數(shù)據(jù)權(quán)限范圍，混合分頁模式
@DataScope(type = "test", value = {
// 關(guān)聯(lián)表 user 別名 u 指定部門字段權(quán)限
@DataColumn(alias = "u", name = "department_id"),
// 關(guān)聯(lián)表 user 別名 u 指定手機(jī)號字段（自己判斷處理）
@DataColumn(alias = "u", name = "mobile")
})
@Select("select u.* from user u")
List<User> selectTestList(IPage<User> page, Long id, @Param("name") String username);
模擬業(yè)務(wù)處理邏輯：
@Bean
public IDataScopeProvider dataScopeProvider() {
return new AbstractDataScopeProvider() {
@Override
protected void setWhere(PlainSelect plainSelect, Object[] args, DataScopeProperty dataScopeProperty) {
// args 中包含 mapper 方法的請求參數(shù)，需要使用可以自行獲取
/*
// 測試數(shù)據(jù)權(quán)限，最終執(zhí)行 SQL 語句
SELECT u.* FROM user u WHERE (u.department_id IN ('1', '2', '3', '5'))
AND u.mobile LIKE '%1533%'
*/
if ("test".equals(dataScopeProperty.getType())) {
// 業(yè)務(wù) test 類型
List<DataColumnProperty> dataColumns = dataScopeProperty.getColumns();
for (DataColumnProperty dataColumn : dataColumns) {
if ("department_id".equals(dataColumn.getName())) {
// 追加部門字段 IN 條件，也可以是 SQL 語句
Set<String> deptIds = new HashSet<>();
deptIds.add("1");
deptIds.add("2");
deptIds.add("3");
deptIds.add("5");
ItemsList itemsList = new ExpressionList(deptIds.stream().map(StringValue::new).collect(Collectors.toList()));
InExpression inExpression = new InExpression(new Column(dataColumn.getAliasDotName()), itemsList);
if (null == plainSelect.getWhere()) {
// 不存在 where 條件
plainSelect.setWhere(new Parenthesis(inExpression));
} else {
// 存在 where 條件 and 處理
plainSelect.setWhere(new AndExpression(plainSelect.getWhere(), inExpression));
}
} else if ("mobile".equals(dataColumn.getName())) {
// 支持一個自定義條件
LikeExpression likeExpression = new LikeExpression();
likeExpression.setLeftExpression(new Column(dataColumn.getAliasDotName()));
likeExpression.setRightExpression(new StringValue("%1533%"));
plainSelect.setWhere(new AndExpression(plainSelect.getWhere(), likeExpression));
}
}
}
}
};
}
SELECT u.* FROM user u
WHERE (u.department_id IN ('1', '2', '3', '5'))
AND u.mobile LIKE '%1533%' LIMIT 1, 10
https://gitee.com/baomidou/mybatis-mate-examples再見 Navicat ！這個工具才是YYDS！
oppo后端16連問
求你了，別在高并發(fā)場景中使用悲觀鎖了！
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